Songlin Wan

666 total citations
35 papers, 411 citations indexed

About

Songlin Wan is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Songlin Wan has authored 35 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 16 papers in Mechanical Engineering and 15 papers in Computational Mechanics. Recurrent topics in Songlin Wan's work include Advanced Surface Polishing Techniques (26 papers), Laser Material Processing Techniques (13 papers) and Advanced machining processes and optimization (13 papers). Songlin Wan is often cited by papers focused on Advanced Surface Polishing Techniques (26 papers), Laser Material Processing Techniques (13 papers) and Advanced machining processes and optimization (13 papers). Songlin Wan collaborates with scholars based in China, United Kingdom and France. Songlin Wan's co-authors include Chaoyang Wei, Jianda Shao, Xiangchao Zhang, Xiangqian Jiang, Min Xu, Jianyu Liu, Yonggang Wei, Fangqiong Li, Linlin Qin and Zhenhong Liu and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of Medicinal Chemistry.

In The Last Decade

Songlin Wan

28 papers receiving 392 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Songlin Wan China 11 254 177 147 89 50 35 411
Shizhong Li China 12 30 0.1× 41 0.2× 38 0.3× 32 0.4× 11 0.2× 46 398
Yulei Fu China 7 40 0.2× 55 0.3× 15 0.1× 33 0.4× 45 0.9× 22 331
Zhijun Lü China 10 55 0.2× 31 0.2× 8 0.1× 94 1.1× 28 0.6× 23 345
Jeong-Hun Lee South Korea 8 73 0.3× 69 0.4× 36 0.2× 27 0.3× 180 3.6× 26 332
Y.S. Chung South Korea 13 13 0.1× 154 0.9× 133 0.9× 35 0.4× 45 0.9× 25 414
Jinbao Chen China 9 36 0.1× 82 0.5× 13 0.1× 28 0.3× 7 0.1× 44 268
Pablo Guillén Spain 8 14 0.1× 186 1.1× 13 0.1× 20 0.2× 10 0.2× 34 347
Hye-Jin Jeong South Korea 9 29 0.1× 184 1.0× 6 0.0× 35 0.4× 60 1.2× 27 558
Bengt-Göran Rosén Sweden 10 39 0.2× 263 1.5× 34 0.2× 3 0.0× 5 0.1× 40 405
Hiromi Kato Japan 8 27 0.1× 24 0.1× 17 0.1× 11 0.1× 8 0.2× 26 274

Countries citing papers authored by Songlin Wan

Since Specialization
Citations

This map shows the geographic impact of Songlin Wan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Songlin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songlin Wan more than expected).

Fields of papers citing papers by Songlin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Songlin Wan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Songlin Wan. The network helps show where Songlin Wan may publish in the future.

Co-authorship network of co-authors of Songlin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Songlin Wan. A scholar is included among the top collaborators of Songlin Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Songlin Wan. Songlin Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Niu, Zhenqi, Songlin Wan, Xiaolin Li, et al.. (2025). Spatial–spectral sparse deep learning combined with a freeform lens enables extreme depth-of-field hyperspectral imaging. Photonics Research. 13(4). 827–827. 1 indexed citations
2.
Zhang, Xiaomin, Wenhui Chen, Songlin Wan, et al.. (2025). Spatially Selective MicroRNA Imaging in Human Colorectal Cancer Tissues Using a Multivariate-Gated Signal Amplification Nanosensor. Journal of the American Chemical Society. 147(8). 6679–6687. 10 indexed citations
3.
Li, Jian, Jian Xu, Min Niu, et al.. (2025). The Expression Characteristics of the RBFOX1 Gene in Colorectal Cancer. Technology in Cancer Research & Treatment. 24. 2244075583–2244075583.
4.
Wan, Songlin, Huan Chen, Jiang Guochang, et al.. (2024). Microsecond-pulsed CO2 laser cleaning of high damage threshold fused silica. International Journal of Mechanical Sciences. 279. 109481–109481. 6 indexed citations
5.
Ding, Zhao, et al.. (2024). Development of Pseudosacral Cyst Following Surgery for Primary Presacral Neuroendocrine Tumors With Liver Metastasis: A Case Report. SHILAP Revista de lepidopterología. 12(12). e9672–e9672.
6.
Li, Hanjie, Songlin Wan, Shuo Yan, et al.. (2024). Data-based systematic error extraction and compensation methods based on wavelet transform in ultra-precision optical polishing. Optics Letters. 49(15). 4366–4366. 1 indexed citations
7.
Li, Hanjie, Songlin Wan, Shuo Yan, et al.. (2024). Density adaptive path based on stacked rotation convolution model in ultra-precision robotic optical polishing. Optics Express. 32(24). 42767–42767.
8.
Wan, Songlin, et al.. (2024). Numerical simulation and experimental validation of light modulation by laser-ablated ripples on fused silica surfaces. Optics Express. 33(1). 169–188. 1 indexed citations
10.
Wan, Songlin, et al.. (2024). Evolution mechanism of subsurface damage during laser machining process of fused silica. Optics Express. 32(9). 16273–16273. 3 indexed citations
11.
Chen, Huan, et al.. (2023). Improving polishing efficiency of RB-SiC through femtosecond laser pretreatment. Applied Surface Science. 631. 157574–157574. 6 indexed citations
12.
Wan, Songlin, Zhenqi Niu, Hanjie Li, et al.. (2023). Plug-and-play positioning error compensation model for ripple suppressing in industrial robot polishing. Applied Optics. 62(32). 8670–8670. 1 indexed citations
13.
14.
Zhou, Junmin, Songlin Wan, Chun Guang Li, et al.. (2023). Retroperitoneal abscess as a presentation of colon cancer: The largest case set analysis to date, which extracted from our unit and the literature. Frontiers in Oncology. 13. 1198592–1198592.
15.
Guo, Hao, Songlin Wan, Hanjie Li, et al.. (2023). Fourier convolution–parallel neural network framework with library matching for multi-tool processing decision-making in optical fabrication. Optics Letters. 48(9). 2468–2468. 1 indexed citations
16.
Cheng, Xin, Chaoyang Wei, Songlin Wan, et al.. (2023). Laser-based defect characterization and removal process for manufacturing fused silica optic with high ultraviolet laser damage threshold. SHILAP Revista de lepidopterología. 4(3). 1–1. 16 indexed citations
17.
Wan, Songlin, Jiang Guochang, Yibin Zhang, et al.. (2023). Specifications and control of spatial frequency errors of components in two-beam laser static holographic exposure for pulse compression grating fabrication. High Power Laser Science and Engineering. 12. 2 indexed citations
18.
Wan, Songlin, et al.. (2023). Pan-cancer Analysis Confirms the Prognostic and Immunological Effectsof Prostate Tumor Overexpressed-1 in Human Cancers. Current Cancer Drug Targets. 24(1). 28–45. 2 indexed citations
19.
Wan, Songlin, et al.. (2020). Modeling and analysis of the mid-spatial- frequency error characteristics and generation mechanism in sub-aperture optical polishing. Optics Express. 28(6). 8959–8959. 23 indexed citations
20.
Wan, Songlin, et al.. (2014). The magnetic field generated by a rotating charged polygon. European Journal of Physics. 35(3). 35005–35005. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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